This is the story of how the author came to understand race and racism in America. This story has everything to do with how he came to understand unconscious bias, white nationalism, and the fundamental threat to democracy we face today--and what each of us can do about it. The author shares a framework to help understand key concepts central to…

Student ratings of instruction (SRI) are commonly used to evaluate courses and teaching in higher education. Much debate about their validity in evaluating teaching exists, which is due to concerns of bias by factors unrelated to teaching quality (Spooren et al., 2013). Our objective was to identify peer-reviewed original research published in…

In discourses involving implicit causality, the implicit cause of the event is referentially predictable, that is, it is likely to be rementioned. However, it is unclear how referential predictability is calculated. We test two possible explanations: (1) The frequency account suggests that people learn that implicit causes are predictable through…

The current study compared American, Korean, and Indonesian middle and high school students' CS attitudes. Concurrently, this study also examined whether the items in the CS attitudes scale exhibit country and gender measurement biases. We gathered data on CS attitudes from middle and high school students in the US, Korea, and Indonesia. The…

Courses: Rhetorical Criticism, Rhetorical Theory, Rhetoric and Public Memory, Rhetoric of Space/Place. Objectives: This unit introduces critical regionalism as a methodology for rhetorical analysis. By encouraging students to see regions as rhetorical constructions, critical regionalism teaches students to recognize and analyze the inevitable…

This study examined lived experiences of foreign-born student affairs professionals (SAPs) in the United States and Canadian higher education. We sought to understand foreign-born SAPs' impacts on higher education internationalization and what their professional experiences inferred about the level of international engagement in the field of…

Primary care health checks, screenings and GP consultations are often the gateway for people with intellectual disabilities to access their physical and mental healthcare. For a population who experience greater levels of health difficulties alongside significant health inequality, improving care quality and access is of major importance. This…

Survey research is still confronted by a trend of increasing nonresponse rates. In this context, several methodological advances have been made to stimulate participation and avoid bias. Yet, despite the growing number of tools and methods to deal with nonresponse, little is known about whether nonresponse biases show similar trends as nonresponse…

Two studies examined factors that predicted children's tendencies to match objects versus relations across scenes when no instruction was given. Study 1 examined a) age and b) nationality as a proxy for cultural differences in experiences with relations. The results showed that Chinese and U.S. children across ages all showed an initial bias to…

Through co-occurrence analysis of 1139 documents (1964-2018) we identified discussions about the implementation of student teaching evaluation (SET). We found that: (1) Attention to SET originated in the US in the 1970s, spreading to German-speaking countries in the mid-1990s and continuing in China and Latin America in the early 2000s. (2) SET is…

The emergence of ChatGPT, a Generative AI program, has sparked discussions about its teaching and learning value, and concerns about academic integrity in higher education (HE). An extant review of the literature indicates that a scarcity of research exists on GenAI, specifically a synthesis of the official views, guidelines and articles of…

Student evaluation of teaching (SET) has not yet been studied historically and comparatively. Based on our interviews with professors and administrators at 18 universities in three countries, we discuss how SET diffused in all the studied universities and how SET was translated and edited differently according to different sets of statements. SET…

As part of a broader information literacy agenda, academic libraries are interested in advancing algorithmic literacy. Folk theories of algorithmic decision-making systems, such as recommender systems, can provide insights into designing and delivering enhanced algorithmic literacy initiatives. Users of the Spotify music recommendation systems…

Through analysis of a classroom lesson led by a decorated teacher, we illustrate how instructional practices favor students seeking empirical patterns at the expense of using mechanistic reasoning. In the lesson, when students spontaneously come up with hypothetical mechanisms to explain why a light bulb in an electric circuit does or does not…

This article presents the first-ever big data study of the student evaluation of teaching (SET) using artificial intelligence (AI). We train natural language processing (NLP) models on 1.6 million student evaluations from the US and the UK. We address two research questions: (1) are these models able to predict student ratings from the student…